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Hierarchical clustering in particle physics through reinforcement
  learning
v1v2 (latest)

Hierarchical clustering in particle physics through reinforcement learning

16 November 2020
Johann Brehmer
S. Macaluso
D. Pappadopulo
Kyle Cranmer
ArXiv (abs)PDFHTML

Papers citing "Hierarchical clustering in particle physics through reinforcement learning"

5 / 5 papers shown
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
Hao Peng
Xiang Huang
Shuo Sun
Ruitong Zhang
Philip S. Yu
237
0
0
07 May 2025
Branches of a Tree: Taking Derivatives of Programs with Discrete and
  Branching Randomness in High Energy Physics
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
Michael Kagan
Lukas Heinrich
204
10
0
31 Aug 2023
Automating DBSCAN via Deep Reinforcement Learning
Automating DBSCAN via Deep Reinforcement LearningInternational Conference on Information and Knowledge Management (CIKM), 2022
Ruitong Zhang
Hao Peng
Yingtong Dou
Hongzhi Zhang
Qingyun Sun
Jingyi Zhang
Philip S. Yu
OffRL
131
28
0
09 Aug 2022
Exact and Approximate Hierarchical Clustering Using A*
Exact and Approximate Hierarchical Clustering Using A*Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Craig S. Greenberg
S. Macaluso
Nicholas Monath
Kumar Avinava Dubey
Patrick Flaherty
Manzil Zaheer
Amr Ahmed
Kyle Cranmer
Andrew McCallum
177
4
0
14 Apr 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
235
224
0
02 Feb 2021
1
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